| Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor. D Atzberger, T Cech, M de La Haye, M Söchting, W Scheibel, ... VISIGRAPP (3: IVAPP), 112-122, 2021 | 17 | 2021 |
| Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization D Atzberger, T Cech, M Trapp, R Richter, W Scheibel, J Döllner, ... IEEE Transactions on Visualization and Computer Graphics, 2023 | 11 | 2023 |
| CodeCV: Mining Expertise of GitHub Users from Coding Activities D Atzberger, N Scordialo, T Cech, W Scheibel, M Trapp, J Döllner 2022 IEEE 22nd International Working Conference on Source Code Analysis and …, 2022 | 8 | 2022 |
| Visualization of Knowledge Distribution across Development Teams using 2.5 D Semantic Software Maps. D Atzberger, T Cech, A Jobst, W Scheibel, D Limberger, M Trapp, ... VISIGRAPP (3: IVAPP), 210-217, 2022 | 8 | 2022 |
| Visualization of Source Code Similarity Using 2.5 D Semantic Software Maps D Atzberger, T Cech, W Scheibel, D Limberger, J Döllner International Joint Conference on Computer Vision, Imaging and Computer …, 2021 | 6 | 2021 |
| Efficient github crawling using the graphql api A Jobst, D Atzberger, T Cech, W Scheibel, M Trapp, J Döllner International Conference on Computational Science and Its Applications, 662-677, 2022 | 5 | 2022 |
| Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions. D Atzberger, T Cech, W Scheibel, J Döllner, T Schreck VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 593-602, 2024 | 3 | 2024 |
| A benchmark for the use of topic models for text visualization tasks D Atzberger, T Cech, W Scheibel, D Limberger, M Trapp, J Döllner Proceedings of the 15th International Symposium on Visual Information …, 2022 | 2 | 2022 |
| Outlier Mining Techniques for Software Defect Prediction T Cech, D Atzberger, W Scheibel, S Misra, J Döllner International Conference on Software Quality, 41-60, 2023 | 1 | 2023 |
| A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps. T Cech, F Simsek, W Scheibel, J Döllner EuroVis (Posters), 5-7, 2023 | 1 | 2023 |
| Evaluating Architectures and Hyperparameters of Self-supervised Network Projections. T Cech, D Atzberger, W Scheibel, R Richter, J Döllner VISIGRAPP (3: IVAPP), 187-194, 2023 | 1 | 2023 |
| A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations D Atzberger, T Cech, W Scheibel, J Döllner, M Behrisch, T Schreck IEEE Transactions on Visualization and Computer Graphics, 2024 | | 2024 |
| Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets T Cech, O Wegen, D Atzberger, R Richter, W Scheibel, J Döllner arXiv preprint arXiv:2406.13552, 2024 | | 2024 |
| Assessing the Reliability of Integrated Gradients-Based Saliency Maps for 3D Point Cloud Semantic Segmentation Models JF Ciprián-Sánchez, JM Burmeister, T Cech, R Richter, J Döllner The Eurographics Association, 2024 | | 2024 |
| A Dashboard for Simplifying Machine Learning Models using Feature Importances and Spurious Correlation Analysis T Cech, E Kohlros, W Scheibel, J Döllner The Eurographics Association, 2024 | | 2024 |
| Interactive Human-guided Dimensionality Reduction using Landmark Positioning T Cech, C Raue, F Sadrieh, W Scheibel, J Döllner The Eurographics Association, 2024 | | 2024 |
| Machine Learning for self-serviced Electrocardiograms T Cech, N Danz, N Noack, L Pirl, J Beilharz, A Polze HPI Future SOC Lab–Proceedings 2018, 145, 2023 | | 2023 |
| Visual Counterfactual Explanations Using Semantic Part Locations. F Böttger, T Cech, W Scheibel, J Döllner KDIR, 63-74, 2023 | | 2023 |
| UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization. L Liebe, J Baum, T Schütze, T Cech, W Scheibel, J Döllner KDIR, 39-50, 2023 | | 2023 |
| Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation. D Atzberger, T Cech, W Scheibel, R Richter, J Döllner ENASE, 461-468, 2023 | | 2023 |
